Interference Mitigation Method for Wireless Body Area Networks Based on Graph Coloring Method

Abstract

The invention discloses a method for mitigating interference between wireless body area networks based on a graph coloring method, which obtains the position distribution probability of sensor nodes in the wireless body area network according to the movement model of a single individual; The interference weight of each wireless body area network, and construct the interference relationship diagram among all wireless body area networks, so as to allocate channels for each wireless body area network. This method fully analyzes the individual mobility characteristics, and proposes a corresponding solution to the problem of multi-WBAN coexistence interference, which greatly improves the reliability of data transmission.

Description

Technical field [0001] The present invention relates to the field of electronic health, and more particularly to a wireless body domain inter-network interference mitigation method based on a picture coloring method. Background technique [0002] With the continuous development of my country and the general improvement of people's living standards, the problem of population aging has gradually received more and more people, so it is especially important to achieve economic effectiveness of middle-aged and elderly people. Wireless Body Area Network (WBAN) is a new type of people-centered wireless sensor network, typically consisting of multiple and human body-related wireless communication nodes and a coordinator. These wireless communication nodes include personal terminals (such as mobile phones, PDAs, etc.), as well as wireless sensors distributed across people, clothing or in the body. The sensor node collects various human body and environmental information (such as body temp...

AI Technical Summary

Problems solved by technology

[0003] At present, most wireless body area network technologies use the ISM frequency band common to all countries. However, the number of orthogonal channels in this frequency band is very limited. Different WBANs have a high probability of working on the same channel. When multiple When WBANs on the same channel are close to each other, interference will occur between them, resulting in reduced reliability of data transmission. If it involves the transmission of some emergency physiological data, it may endanger the life and health of patients

[0004] Existing solutions to inter-WBAN interference focus on analyzing the WBAN as a single point, but in reality sensor nodes are distributed in different positions of the human body, and the distance between nodes between WBANs is different, and each node has its own interference It is unreasonable to regard all nodes in the WBAN as a uniformly interfered point, and the scheme does not take into account the individual mobility characteristics well, ignoring the fact that the topological structure of the wireless body area network changes with the movement of the human body. The impact caused, the anti-interference effect needs to be improved

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